Benchmarking quantum annealing controls with portfolio optimization
Quantum annealing offers an approach to finding the optimal solutions for a variety of
computational problems, where the quantum annealing controls influence the observed …
computational problems, where the quantum annealing controls influence the observed …
Reinforcement quantum annealing: A hybrid quantum learning automata
We introduce the notion of reinforcement quantum annealing (RQA) scheme in which an
intelligent agent searches in the space of Hamiltonians and interacts with a quantum …
intelligent agent searches in the space of Hamiltonians and interacts with a quantum …
Efficient low temperature Monte Carlo sampling using quantum annealing
R Sandt, R Spatschek - Scientific Reports, 2023 - nature.com
Quantum annealing is an efficient technology to determine ground state configurations of
discrete binary optimization problems, described through Ising Hamiltonians. Here we show …
discrete binary optimization problems, described through Ising Hamiltonians. Here we show …
How to solve combinatorial optimization problems using real quantum machines: A recent survey
A combinatorial optimization problem (COP) is the problem of finding the optimal solution in
a finite set. When the size of the feasible solution set is large, the complexity of the problem …
a finite set. When the size of the feasible solution set is large, the complexity of the problem …
Multi-qubit correction for quantum annealers
We present multi-qubit correction (MQC) as a novel postprocessing method for quantum
annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set …
annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set …
An application of quantum annealing computing to seismic inversion
Quantum computing, along with quantum metrology and quantum communication, are
disruptive technologies that promise, in the near future, to impact different sectors of …
disruptive technologies that promise, in the near future, to impact different sectors of …
A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
FB Maciejewski, BG Bach, M Dupont, PA Lott… - ar**
FB Maciejewski, J Biamonte, S Hadfield… - ar**}(NDAR), a heuristic meta-algorithm
for approximately solving binary optimization problems by leveraging certain types of noise …
for approximately solving binary optimization problems by leveraging certain types of noise …
Advanced anneal paths for improved quantum annealing
Advances in quantum annealing technology make it possible to obtain high quality
approximate solutions of important NP-hard problems. With the newer generations of the D …
approximate solutions of important NP-hard problems. With the newer generations of the D …
Quantum-assisted greedy algorithms
R Ayanzadeh, J Dorband, M Halem… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
We show how to leverage quantum annealers (QAs) to better select candidates in greedy
algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics …
algorithms. Unlike conventional greedy algorithms that employ problem-specific heuristics …